Background. Outline. Radiographic Tomosynthesis: Image Quality and Artifacts Reduction 1 / GE /
|
|
- Leon Sutton
- 6 years ago
- Views:
Transcription
1 Radiographic Tomosynthesis: Image Quality and Artifacts Reduction Baojun Li, Ph.D Department of Radiology Boston University Medical Center 2012 AAPM Annual Meeting Background Linear Trajectory Tomosynthesis Retrospective reconstruction of tomographic planes from multiple lowdose projections (21-61) acquired over a limited angular range (<60 ) along a linear trajectory. Outline Image quality metrics: methods and results Spatial resolution In-plane (x-y plane) Slice sensitivity profile (SSP) (z-dimension) Low contrast detectability Pulmonary nodule detection Artifacts and remedies Out of focus objects Ripples Edge fall off 1 /
2 Raw Image MTF 1,2,3,4 pixel Boxcar Measure MTF using a slanted wire (Flynn et. al, SPIE 2007) um tungsten wire suspended in air. Slant angle of 6 degree. Obtain point-spread-function in the scanning direction. MTF = FFT(PSF) normalized to 1. PSF Tungsten wire A tomo image PSF Mid-frequency hump shape of edge enhancing filters MTF(0) some vendors add a small DC component, others don t. MTF Tomo image of a spherical object Tomosynthesis vs. digital linear tomography MTF 0.1 ~= 1.3 lp/mm lp/mm MTF Tomosynthesis (150 um x 150 um) Linear Tomography (200 um x 200 um) 50% MTF ~1.8 lp/mm ~0.5 lp/mm 10% MTF ~3.5 lp/mm ~1.3 lp/mm The in-plane resolution of Tomosynthesis is 3x of digital linear tomography 2 /
3 Tomosynthesis vs. CT Azimuthally averaged MTF MTF50 = lp/cm, MTF10 = 18.15, MTF4 = VCT (standard kernel) lp/cm Focal spot wobble MTF Tomosynthesis MDCT (0.65 mm) MDCT (0.65 mm) (standard kernel) (150 um x 150 um) (FS wobble) 50% MTF ~1.8 lp/mm ~0.4 lp/mm ~1.2 lp/mm 10% MTF ~3.5 lp/mm ~0.7 lp/mm ~1.8 lp/mm The in-plane resolution of Tomosynthesis is 2~4x of CT Comparison of clinical images (Flynn et. al, SPIE 2007) CT (coronal reformat) Tomosynthesis (150 um x 150 um) Summary The in-plane resolution of tomosynthesis is ~3x of digital linear tomography The in-plane resolution of tomosynthesis is ~2-4x of CT 3 /
4 Slice Sensitivity Profile SSP is reconstruction algorithm dependent For Filtered backprojection, the relationship is derived (Li et. al, Med Phys 2008) θ / 2 D / 2 f ( x0, z0 ) = dϕ q( x, ϕ) h( x p ( ϕ, x0, z0 ) x ) dx θ / 2 D / 2 θ / 2 D / 2 SID tan( ϕ) x0 = d q x h x + z x dx ϕ (, ϕ) ( 0 0 ) SID z θ / 2 D / 2 0 f ( x0, z0) f ( x0, z0) f ( x0, z1 ) tan( ϑ / 2) ϑ System geometry for SSP derivation 1. For FBP, the SSP is inversely proportional to angular range θ. 2. SSP is spatially varying as a function of z 0. Slice Sensitivity Profile Simulation study LSF The reduction in SSP is less and less pronounced beyond 40 Slice Sensitivity Profile Anthropomorphic phantom (Li et. al, Med Phys 2008) (a) In-focus plane containing a 8.8 mm nodule (b) (d) Off-focus plane at z=110 mm with increasing angular range from 20 to 60 Confirming: A decrease in slice thickness as angular range increases Diminishing returns beyond 40 4 /
5 Slice Sensitivity Profile Measure MTF using a slanted wedge (Li et. al, Med Phys 2008) Tungsten ruler on a foam support. Slant angle of 30 degree Obtain a family of line-spread-functions in the scanning direction PSFs = Differentiate(LSFs) Obtain FWHMs from the family of PSFs as function of z PSF Tungsten wire PSF A tomo image Slice Sensitivity Profile Tomosynthesis vs. CT SSP Tomosynthesis MDCT MDCT (zffs) (200 um x 200 um) FWHM ~ 3 mm ~ 0.6 mm ~ 0.3 mm The slice thickness of Tomosynthesis is ~ 5-10x of CT Slice Sensitivity Profile Summary For FBP, the SSP is inversely proportional to angular range θ; diminishing returns beyond 40 The slice thickness of Tomosynthesis is ~5-10x of CT i.e., highly anisotropic voxel SSP of tomosynthesis is spatially varying 5 /
6 Low Contrast Detectability Simulated pulmonary nodule DES vs DES-Tomosynthesis (Gomi et. al, Acad. Radiol. 2011) The area under ROC curve was ~90% and ~60% for DES-T and DES, respectively (P <.003). Low Contrast Detectability Nodule detection clinical trial (Dobbins et. al, Med Phys 2008) Low Contrast Detectability Summary Low contrast detectability of Tomosynthesis is ~3x (overall) of PA radiography Low contrast detectability of Tomosynthesis is sizedependent: 0.5x of CT for <5mm nodules, 0.7x of CT for 5-10mm nodules, and comparable for > 10mm nodules 6 /
7 Out of focus objects Highly anisotropic voxel size due to limited angular range (<60 ) Objects appear in adjacent slices where they do not belong Out of focus objects lead to blurry image and anatomical noise Z Y X Highly anisotropic voxel size Out of focus objects Out of focus objects Artifacts can be suppressed by software Order statistics based approach (Claus et. al, SPIE 2002) Before After Out of focus objects Hybrid approach combining order statistics based method with advanced image segmentation (Wu et. al, Med Phys 2006) Before After 7 /
8 Ripples Limited # of projection results in under-sampling of the angular range Discrete impulse response is a result of angular aliasing Strong edges (e.g., ribs, implants, etc.) manifests as ripples Impulse response from N = 11 Ripples observed in phantom Images (thorax) Ripples Artifacts can be suppressed by optimization of acquisition parameters or reconstruction algorithm (Dobbins et. al, Med Phys 2008) N = 11 N = 11, MITS N = 61 N = 61, MITS Ripples Artifacts can be suppressed by optimization of acquisition (Deller et. al, SPIE 2007) N = 21, FBP N = 61, FBP 8 /
9 Edge fall off Uneven number of rays passing thru the planes due to truncation Truncated projections cause intensity drop off Before For rad tomo, source-to-image distance (SID) around 100 cm (table) or 180 cm (wall-stand) Edge fall off Artifacts can be corrected by software 3-D non-uniform view-weighting technique (Li et. al, SPIE 2007) Iterative local intensity equalization method (Zhang et. al, JCAR 2009) 64% - 77% 80% - 89% Before After Conclusion Image quality metrics of linear-trajectory Tomo In-plane resolution: 2-4x of CT or linear tomography SSP: inversely proportional to θ; slice thickness: 5-10x thicker than CT Low contrast detectability: >3x better than radiography, but somewhat inferior to CT (nodule size-dependent) Image artifacts and reduction strategies Out of focus objects post the biggest image quality challenge; Order statistics based method helps, but is not perfect yet Ripple artifacts can be suppressed sufficiently by optimization of acquisition parameters and/or reconstruction algorithm Edge fall off can be corrected by 3-D non-uniform view-weighting or iterative intensity equalization 9 /
CT NOISE POWER SPECTRUM FOR FILTERED BACKPROJECTION AND ITERATIVE RECONSTRUCTION
CT NOISE POWER SPECTRUM FOR FILTERED BACKPROJECTION AND ITERATIVE RECONSTRUCTION Frank Dong, PhD, DABR Diagnostic Physicist, Imaging Institute Cleveland Clinic Foundation and Associate Professor of Radiology
More informationQuality control phantoms and protocol for a tomography system
Quality control phantoms and protocol for a tomography system Lucía Franco 1 1 CT AIMEN, C/Relva 27A O Porriño Pontevedra, Spain, lfranco@aimen.es Abstract Tomography systems for non-destructive testing
More informationAssessment of 3D performance metrics. X-ray based Volumetric imaging systems: Fourier-based imaging metrics. The MTF in CT
Assessment of 3D performance metrics D and 3D Metrics of Performance Towards Quality Index: Volumetric imaging systems X-ray based Volumetric imaging systems: CBCT/CT Tomosynthesis Samuel Richard and Ehsan
More informationAcknowledgments and financial disclosure
AAPM 2012 Annual Meeting Digital breast tomosynthesis: basic understanding of physics principles James T. Dobbins III, Ph.D., FAAPM Director, Medical Physics Graduate Program Ravin Advanced Imaging Laboratories
More informationMulti-slice CT Image Reconstruction Jiang Hsieh, Ph.D.
Multi-slice CT Image Reconstruction Jiang Hsieh, Ph.D. Applied Science Laboratory, GE Healthcare Technologies 1 Image Generation Reconstruction of images from projections. textbook reconstruction advanced
More informationImage Acquisition Systems
Image Acquisition Systems Goals and Terminology Conventional Radiography Axial Tomography Computer Axial Tomography (CAT) Magnetic Resonance Imaging (MRI) PET, SPECT Ultrasound Microscopy Imaging ITCS
More informationInvestigating Oblique Reconstructions with Super-Resolution in Digital Breast Tomosynthesis
Investigating Oblique Reconstructions with Super-Resolution in Digital Breast Tomosynthesis Raymond J. Acciavatti, Stewart B. Mein, and Andrew D.A. Maidment University of Pennsylvania, Department of Radiology,
More informationNoise power spectrum and modulation transfer function analysis of breast tomosynthesis imaging
Noise power spectrum and modulation transfer function analysis of breast tomosynthesis imaging Weihua Zhou a, Linlin Cong b, Xin Qian c, Yueh Z. Lee d, Jianping Lu c,e, Otto Zhou c,e, *Ying Chen a,b a
More information1. Deployment of a framework for drawing a correspondence between simple figure of merits (FOM) and quantitative imaging performance in CT.
Progress report: Development of assessment and predictive metrics for quantitative imaging in chest CT Subaward No: HHSN6801000050C (4a) PI: Ehsan Samei Reporting Period: month 1-18 Deliverables: 1. Deployment
More informationAdvanced Image Reconstruction Methods for Photoacoustic Tomography
Advanced Image Reconstruction Methods for Photoacoustic Tomography Mark A. Anastasio, Kun Wang, and Robert Schoonover Department of Biomedical Engineering Washington University in St. Louis 1 Outline Photoacoustic/thermoacoustic
More information8/2/2016. Measures the degradation/distortion of the acquired image (relative to an ideal image) using a quantitative figure-of-merit
Ke Li Assistant Professor Department of Medical Physics and Department of Radiology School of Medicine and Public Health, University of Wisconsin-Madison This work is partially supported by an NIH Grant
More informationOptimization of CT Simulation Imaging. Ingrid Reiser Dept. of Radiology The University of Chicago
Optimization of CT Simulation Imaging Ingrid Reiser Dept. of Radiology The University of Chicago Optimization of CT imaging Goal: Achieve image quality that allows to perform the task at hand (diagnostic
More informationTomography at all Scales. Uccle, 7 April 2014
Tomography at all Scales Uccle, 7 April 2014 Outline The Vision Lab ASTRA: All Scale Tomographic Reconstruction Antwerp Tomography Discrete Tomography In situ CT Superresolution Dynamic imaging The ASTRA
More information7/13/2015 EVALUATION OF NONLINEAR RECONSTRUCTION METHODS. Outline. This is a decades-old challenge
EVALUATION OF NONLINEAR RECONSTRUCTION METHODS Kyle J. Myers, Ph.D. Director, Division of Imaging, Diagnostics, and Software Reliability Office of Science and Engineering Laboratories, CDRH, FDA 2 Outline
More informationAIDR 3D Iterative Reconstruction:
Iterative Reconstruction: Integrated, Automated and Adaptive Dose Reduction Erin Angel, PhD Manager, Clinical Sciences, CT Canon Medical Systems USA Iterative Reconstruction 1 Since the introduction of
More informationSpiral CT. Protocol Optimization & Quality Assurance. Ge Wang, Ph.D. Department of Radiology University of Iowa Iowa City, Iowa 52242, USA
Spiral CT Protocol Optimization & Quality Assurance Ge Wang, Ph.D. Department of Radiology University of Iowa Iowa City, Iowa 52242, USA Spiral CT Protocol Optimization & Quality Assurance Protocol optimization
More informationBackground 8/2/2011. Development of Breast Models for Use in Simulation of Breast Tomosynthesis and CT Breast Imaging. Stephen J.
Development of Breast Models for Use in Simulation of Breast Tomosynthesis and CT Breast Imaging Stephen J. Glick* J. Michael O Connor**, Clay Didier**, Mini Das*, * University of Massachusetts Medical
More information4/19/2016. Deborah Thames R.T. (R)(M)(QM) Theory & Technology and advancement in 3D imaging DBT
Deborah Thames R.T. (R)(M)(QM) Theory & Technology and advancement in 3D imaging DBT 1 Three manufacturers approved for Tomo Hologic and GE, and Siemens Why 2D Digital Mammography 2D FFDM it appears to
More informationTowards full-body X-ray images
Towards full-body X-ray images Christoph Luckner 1,2, Thomas Mertelmeier 2, Andreas Maier 1, Ludwig Ritschl 2 1 Pattern Recognition Lab, FAU Erlangen-Nuernberg 2 Siemens Healthcare GmbH, Forchheim christoph.luckner@fau.de
More informationSpatial Resolution Properties in Penalized-Likelihood Reconstruction of Blurred Tomographic Data
Spatial Resolution Properties in Penalized-Likelihood Reconstruction of Blurred Tomographic Data Wenying Wang, Grace J. Gang and J. Webster Stayman Department of Biomedical Engineering, Johns Hopkins University,
More informationSlide 1. Technical Aspects of Quality Control in Magnetic Resonance Imaging. Slide 2. Annual Compliance Testing. of MRI Systems.
Slide 1 Technical Aspects of Quality Control in Magnetic Resonance Imaging Slide 2 Compliance Testing of MRI Systems, Ph.D. Department of Radiology Henry Ford Hospital, Detroit, MI Slide 3 Compliance Testing
More informationComputed Tomography Imaging: CT Protocol Management. Caveat 8/3/2017
Computed Tomography Imaging: CT Protocol Management Mark P. Supanich, Ph.D., DABR AAPM Annual Meeting 3 rd August, 2017 Slides at: goo.gl/k8n8jf Rush is an academic health system comprising Rush University
More informationProjection and Reconstruction-Based Noise Filtering Methods in Cone Beam CT
Projection and Reconstruction-Based Noise Filtering Methods in Cone Beam CT Benedikt Lorch 1, Martin Berger 1,2, Joachim Hornegger 1,2, Andreas Maier 1,2 1 Pattern Recognition Lab, FAU Erlangen-Nürnberg
More informationInvestigation of the effect of varying scatter-toprimary ratios on nodule contrast in chest tomosynthesis
Investigation of the effect of varying scatter-toprimary ratios on nodule contrast in chest tomosynthesis Angelica Svalkvist, Gustaf Ullman, Markus Håkansson, David Dance, Michael Sandborg, Gudrun Alm
More informationImage quality of microcalcifications in digital breast tomosynthesis: Effects of projection-view distributions
Image quality of microcalcifications in digital breast tomosynthesis: Effects of projection-view distributions Yao Lu, a) Heang-Ping Chan, Jun Wei, Mitch Goodsitt, Paul L. Carson, and Lubomir Hadjiiski
More information8/2/2016. Acknowledgement. Common Clinical Questions. Presumption Images are Good Enough to accurately answer clinical questions
Image Quality Assessment using Model Observers: Clinical Implementation and Practical Considerations Shuai Leng, PhD Associate Professor, Department of Radiology Mayo Clinic, Rochester MN Acknowledgement
More informationGeneralized Filtered Backprojection for Digital Breast Tomosynthesis Reconstruction
Generalized Filtered Backprojection for Digital Breast Tomosynthesis Reconstruction Klaus Erhard a, Michael Grass a, Sebastian Hitziger b, Armin Iske b and Tim Nielsen a a Philips Research Europe Hamburg,
More informationC a t p h a n / T h e P h a n t o m L a b o r a t o r y
C a t p h a n 5 0 0 / 6 0 0 T h e P h a n t o m L a b o r a t o r y C a t p h a n 5 0 0 / 6 0 0 Internationally recognized for measuring the maximum obtainable performance of axial, spiral and multi-slice
More informationMetal Artifact Reduction CT Techniques. Tobias Dietrich University Hospital Balgrist University of Zurich Switzerland
Metal Artifact Reduction CT Techniques R S S S Tobias Dietrich University Hospital Balgrist University of Zurich Switzerland N. 1 v o 4 1 0 2. Postoperative CT Metal Implants CT is accurate for assessment
More informationCentral Slice Theorem
Central Slice Theorem Incident X-rays y f(x,y) R x r x Detected p(, x ) The thick line is described by xcos +ysin =R Properties of Fourier Transform F [ f ( x a)] F [ f ( x)] e j 2 a Spatial Domain Spatial
More informationGE s Revolution CT MATLAB III: CT. Kathleen Chen March 20, 2018
GE s Revolution CT MATLAB III: CT Kathleen Chen chens18@rpi.edu March 20, 2018 https://www.zmescience.com/medicine/inside-human-body-real-time-gifs-demo-power-ct-scan/ Reminders Make sure you have MATLAB
More informationMedical Image Reconstruction Term II 2012 Topic 6: Tomography
Medical Image Reconstruction Term II 2012 Topic 6: Tomography Professor Yasser Mostafa Kadah Tomography The Greek word tomos means a section, a slice, or a cut. Tomography is the process of imaging a cross
More informationPlanar tomosynthesis reconstruction in a parallel-beam framework via virtual object reconstruction
Planar tomosynthesis reconstruction in a parallel-beam framework via virtual object reconstruction Brian E. Nett a,shuaileng a and Guang-Hong Chen a,b a Department of Medical Physics, University of Wisconsin-Madison,
More informationA Software Tool for Measurement of the Modulation Transfer Function
A Software Tool for Measurement of the Modulation Transfer Function Yen-Hong Kao a, Michael Albert a, Ann-Katherine Carton a, Hilde Bosmans b, Andrew D. A. Maidment a a Department of Radiology, University
More informationFlying Focal Spot (FFS) in Cone-Beam CT Marc Kachelrieß, Member, IEEE, Michael Knaup, Christian Penßel, and Willi A. Kalender
1238 IEEE TRANSACTIONS ON NUCLEAR SCIENCE, VOL. 53, NO. 3, JUNE 2006 Flying Focal Spot (FFS) in Cone-Beam CT Marc Kachelrieß, Member, IEEE, Michael Knaup, Christian Penßel, and Willi A. Kalender Abstract
More informationLinköping University Post Print A MONTE CARLO-BASED MODEL FOR SIMULATION OF DIGITAL CHEST TOMOSYNTHESIS
Linköping University Post Print A MONTE CARLO-BASED MODEL FOR SIMULATION OF DIGITAL CHEST TOMOSYNTHESIS Gustaf Ullman, David R. Dance, Michael Sandborg, Gudrun Alm Carlsson, Angelica Svalkvist and Magnus
More informationDUAL energy X-ray radiography [1] can be used to separate
IEEE TRANSACTIONS ON NUCLEAR SCIENCE, VOL. 53, NO. 1, FEBRUARY 2006 133 A Scatter Correction Using Thickness Iteration in Dual-Energy Radiography S. K. Ahn, G. Cho, and H. Jeon Abstract In dual-energy
More informationSimulation of Mammograms & Tomosynthesis imaging with Cone Beam Breast CT images
Simulation of Mammograms & Tomosynthesis imaging with Cone Beam Breast CT images Tao Han, Chris C. Shaw, Lingyun Chen, Chao-jen Lai, Xinming Liu, Tianpeng Wang Digital Imaging Research Laboratory (DIRL),
More informationDesign and development of a phantom for tomosynthesis with potential for automated analysis via the cloud
Received: 21 August 2017 Revised: 25 October 2017 Accepted: 7 January 2018 DOI: 10.1002/acm2.12297 MEDICAL IMAGING Design and development of a phantom for tomosynthesis with potential for automated analysis
More informationA comparative study of limited-angle cone-beam reconstruction methods for breast tomosynthesis
A comparative study of limited-angle cone-beam reconstruction methods for breast tomosynthesis Yiheng Zhang, a Heang-Ping Chan, Berkman Sahiner, Jun Wei, Mitchell M. Goodsitt, Lubomir M. Hadjiiski, Jun
More informationDigital Image Processing
Digital Image Processing SPECIAL TOPICS CT IMAGES Hamid R. Rabiee Fall 2015 What is an image? 2 Are images only about visual concepts? We ve already seen that there are other kinds of image. In this lecture
More informationAs fl exible as your care requires
As fl exible as your care requires Philips Ingenuity Flex 32 CT Built on Ingenuity The Philips Ingenuity Flex 32 helps you provide excellent care with outstanding flexibility, now and in the future. Built
More informationMEDICAL EQUIPMENT: COMPUTED TOMOGRAPHY. Prof. Yasser Mostafa Kadah
MEDICAL EQUIPMENT: COMPUTED TOMOGRAPHY Prof. Yasser Mostafa Kadah www.k-space.org Recommended Textbook X-Ray Computed Tomography in Biomedical Engineering, by Robert Cierniak, Springer, 211 Computed Tomography
More informationLimitations of Projection Radiography. Stereoscopic Breast Imaging. Limitations of Projection Radiography. 3-D Breast Imaging Methods
Stereoscopic Breast Imaging Andrew D. A. Maidment, Ph.D. Chief, Physics Section Department of Radiology University of Pennsylvania Limitations of Projection Radiography Mammography is a projection imaging
More informationMethodology of NEQ (f) analysis for optimization and comparison of digital breast tomosynthesis acquisition techniques and reconstruction algorithms
Methodology of NEQ (f) analysis for optimization and comparison of digital breast tomosynthesis acquisition techniques and reconstruction algorithms Ying Chen a,b, Joseph Y. Lo a,b,c,d, Nicole T. Ranger
More informationRADIOLOGY AND DIAGNOSTIC IMAGING
Day 2 part 2 RADIOLOGY AND DIAGNOSTIC IMAGING Dr hab. Zbigniew Serafin, MD, PhD serafin@cm.umk.pl 2 3 4 5 CT technique CT technique 6 CT system Kanal K: RSNA/AAPM web module: CT Systems & CT Image Quality
More informationA prototype table-top inverse-geometry volumetric CT system
A prototype table-top inverse-geometry volumetric CT system Taly Gilat Schmidt a Department of Radiology, Stanford University, Stanford, California 94305 Josh Star-Lack NexRay, Inc., Los Gatos, California
More informationINTRODUCTION TO MEDICAL IMAGING- 3D LOCALIZATION LAB MANUAL 1. Modifications for P551 Fall 2013 Medical Physics Laboratory
INTRODUCTION TO MEDICAL IMAGING- 3D LOCALIZATION LAB MANUAL 1 Modifications for P551 Fall 2013 Medical Physics Laboratory Introduction Following the introductory lab 0, this lab exercise the student through
More informationAutomated Image Analysis Software for Quality Assurance of a Radiotherapy CT Simulator
Automated Image Analysis Software for Quality Assurance of a Radiotherapy CT Simulator Andrew J Reilly Imaging Physicist Oncology Physics Edinburgh Cancer Centre Western General Hospital EDINBURGH EH4
More informationCT vs. VolumeScope: image quality and dose comparison
CT vs. VolumeScope: image quality and dose comparison V.N. Vasiliev *a, A.F. Gamaliy **b, M.Yu. Zaytsev b, K.V. Zaytseva ***b a Russian Sci. Center of Roentgenology & Radiology, 86, Profsoyuznaya, Moscow,
More informationRefinement of Imaging Processing of Scatter Correction and Beam Hardening Tools for Industrial Radiography and Cone Beam CT
Digital Industrial Radiology and Computed Tomography (DIR 2015) 22-25 June 2015, Belgium, Ghent - www.ndt.net/app.dir2015 More Info at Open Access Database www.ndt.net/?id=18073 Refinement of Imaging Processing
More informationLimited view X-ray CT for dimensional analysis
Limited view X-ray CT for dimensional analysis G. A. JONES ( GLENN.JONES@IMPERIAL.AC.UK ) P. HUTHWAITE ( P.HUTHWAITE@IMPERIAL.AC.UK ) NON-DESTRUCTIVE EVALUATION GROUP 1 Outline of talk Industrial X-ray
More informationBasics of treatment planning II
Basics of treatment planning II Sastry Vedam PhD DABR Introduction to Medical Physics III: Therapy Spring 2015 Dose calculation algorithms! Correction based! Model based 1 Dose calculation algorithms!
More informationCorrelation between Model and Human Observer Performance on a Lesion Shape Discrimination Task in CT
Correlation between Model and Human Observer Performance on a Lesion Shape Discrimination Task in CT Yi Zhang, Shuai Leng, Lifeng Yu and Cynthia McCollough Department of Radiology Mayo Clinic, Rochester
More informationNIH Public Access Author Manuscript Med Phys. Author manuscript; available in PMC 2009 March 13.
NIH Public Access Author Manuscript Published in final edited form as: Med Phys. 2008 February ; 35(2): 660 663. Prior image constrained compressed sensing (PICCS): A method to accurately reconstruct dynamic
More informationML reconstruction for CT
ML reconstruction for CT derivation of MLTR rigid motion correction resolution modeling polychromatic ML model dual energy ML model Bruno De Man, Katrien Van Slambrouck, Maarten Depypere, Frederik Maes,
More informationSingle-view geometric calibration for C-arm inverse geometry CT
Single-view geometric calibration for C-arm inverse geometry CT Jordan M. Slagowski David A. P. Dunkerley Charles R. Hatt Michael A. Speidel Jordan M. Slagowski, David A. P. Dunkerley, Charles R. Hatt,
More informationReconstruction Methods for Coplanar Translational Laminography Applications
Reconstruction Methods for Coplanar Translational Laminography Applications U. EWERT, K.-U. THIESSENHUSEN, A. DERESCH, C. BELLON, S. HOHENDORF, S. KOLKOORI, N. WROBEL, B. REDMER, M. TSCHAIKNER, BAM, Berlin
More informationLimits of Dose Reduction in CT: How low is too low? Acknowledgement. Disclosures 8/2/2012
8/2/22 Limits of Dose Reduction in CT: How low is too low? Ehsan Samei Duke University Acknowledgement Disclosures Research grant: NIH Research grant: DHS Research grant: RSNA, QIBA Research grant: General
More informationImPACT. Information Leaflet No. 1: CT Scanner Acceptance Testing
ImPACT Information Leaflet No. 1: CT Scanner Acceptance Testing Version 1.02, 18/05/01 CONTENTS: 1. SCOPE OF LEAFLET 2. GENERAL PRINCIPLES OF ACCEPTANCE AND COMMISSIONING 2.1 PHANTOMS 2.2 EXPOSURE AND
More informationIntroduction to Biomedical Imaging
Alejandro Frangi, PhD Computational Imaging Lab Department of Information & Communication Technology Pompeu Fabra University www.cilab.upf.edu X-ray Projection Imaging Computed Tomography Digital X-ray
More informationReduction of Metal Artifacts in Computed Tomographies for the Planning and Simulation of Radiation Therapy
Reduction of Metal Artifacts in Computed Tomographies for the Planning and Simulation of Radiation Therapy T. Rohlfing a, D. Zerfowski b, J. Beier a, P. Wust a, N. Hosten a, R. Felix a a Department of
More informationTomoTherapy Related Projects. An image guidance alternative on Tomo Low dose MVCT reconstruction Patient Quality Assurance using Sinogram
TomoTherapy Related Projects An image guidance alternative on Tomo Low dose MVCT reconstruction Patient Quality Assurance using Sinogram Development of A Novel Image Guidance Alternative for Patient Localization
More informationPhase problem and the Radon transform
Phase problem and the Radon transform Andrei V. Bronnikov Bronnikov Algorithms The Netherlands The Radon transform and applications Inverse problem of phase-contrast CT Fundamental theorem Image reconstruction
More informationSPECT QA and QC. Bruce McBride St. Vincent s Hospital Sydney.
SPECT QA and QC Bruce McBride St. Vincent s Hospital Sydney. SPECT QA and QC What is needed? Why? How often? Who says? QA and QC in Nuclear Medicine QA - collective term for all the efforts made to produce
More informationPenalized-Likelihood Reconstruction for Sparse Data Acquisitions with Unregistered Prior Images and Compressed Sensing Penalties
Penalized-Likelihood Reconstruction for Sparse Data Acquisitions with Unregistered Prior Images and Compressed Sensing Penalties J. W. Stayman* a, W. Zbijewski a, Y. Otake b, A. Uneri b, S. Schafer a,
More information7/31/ D Cone-Beam CT: Developments and Applications. Disclosure. Outline. I have received research funding from NIH and Varian Medical System.
4D Cone-Beam CT: Developments and Applications Lei Ren, PhD, DABR Department of Radiation Oncology Duke University Medical Center Disclosure I have received research funding from NIH and Varian Medical
More informationMedical Imaging BMEN Spring 2016
Name Medical Imaging BMEN 420-501 Spring 2016 Homework #4 and Nuclear Medicine Notes All questions are from the introductory Powerpoint (based on Chapter 7) and text Medical Imaging Signals and Systems,
More informationComputed Tomography. Principles, Design, Artifacts, and Recent Advances. Jiang Hsieh THIRD EDITION. SPIE PRESS Bellingham, Washington USA
Computed Tomography Principles, Design, Artifacts, and Recent Advances THIRD EDITION Jiang Hsieh SPIE PRESS Bellingham, Washington USA Table of Contents Preface Nomenclature and Abbreviations xi xv 1 Introduction
More informationImage Resolution in MicroCT: Principles and Characterization of the Quantum FX and Quantum GX Systems
T E C H N I C A L N O T E Preclinical In Vivo Imaging Authors: Ali Behrooz, Ph.D. Jen-Chieh Tseng, Ph.D. Jeff Meganck, Ph.D. PerkinElmer, Inc. Hopkinton, MA Image Resolution in MicroCT: Principles and
More information2D Fan Beam Reconstruction 3D Cone Beam Reconstruction. Mario Koerner
2D Fan Beam Reconstruction 3D Cone Beam Reconstruction Mario Koerner Moscow-Bavarian Joint Advanced Student School 2006 March 19 2006 to March 29 2006 Overview 2D Fan Beam Reconstruction Shortscan Reconstruction
More informationDesign Considerations in Optimizing a Breast Tomosynthesis System
Design Considerations in Optimizing a Breast Tomosynthesis System Andrew Smith, Ph.D., Vice President - Imaging Science, Hologic Introduction Breast tomosynthesis, also referred to as three-dimensional
More informationComputer-Tomography II: Image reconstruction and applications
Computer-Tomography II: Image reconstruction and applications Prof. Dr. U. Oelfke DKFZ Heidelberg Department of Medical Physics (E040) Im Neuenheimer Feld 280 69120 Heidelberg, Germany u.oelfke@dkfz.de
More informationEvaluation of Spectrum Mismatching using Spectrum Binning Approach for Statistical Polychromatic Reconstruction in CT
Evaluation of Spectrum Mismatching using Spectrum Binning Approach for Statistical Polychromatic Reconstruction in CT Qiao Yang 1,4, Meng Wu 2, Andreas Maier 1,3,4, Joachim Hornegger 1,3,4, Rebecca Fahrig
More informationShadow casting. What is the problem? Cone Beam Computed Tomography THE OBJECTIVES OF DIAGNOSTIC IMAGING IDEAL DIAGNOSTIC IMAGING STUDY LIMITATIONS
Cone Beam Computed Tomography THE OBJECTIVES OF DIAGNOSTIC IMAGING Reveal pathology Reveal the anatomic truth Steven R. Singer, DDS srs2@columbia.edu IDEAL DIAGNOSTIC IMAGING STUDY Provides desired diagnostic
More informationIterative and analytical reconstruction algorithms for varying-focal-length cone-beam
Home Search Collections Journals About Contact us My IOPscience Iterative and analytical reconstruction algorithms for varying-focal-length cone-beam projections This content has been downloaded from IOPscience.
More informationDeviceless respiratory motion correction in PET imaging exploring the potential of novel data driven strategies
g Deviceless respiratory motion correction in PET imaging exploring the potential of novel data driven strategies Presented by Adam Kesner, Ph.D., DABR Assistant Professor, Division of Radiological Sciences,
More informationTITLE: Optimization and Comparison of Different Digital Mammographic Tomosynthesis Reconstruction Methods
AD Award Number: W81XWH-06-1-0462 TITLE: Optimization and Comparison of Different Digital Mammographic Tomosynthesis Reconstruction Methods PRINCIPAL INVESTIGATOR: Ying Chen, Ph.D. James T. Dobbins III,
More informationUnique Features of the GE Senoclaire Tomosynthesis System. Tyler Fisher, M.S., DABR Therapy Physics, Inc.
Unique Features of the GE Senoclaire Tomosynthesis System Tyler Fisher, M.S., DABR Therapy Physics, Inc. Conflict of Interest Disclosure I have no conflicts to disclose. Learning Objectives Overview of
More informationEmpirical cupping correction: A first-order raw data precorrection for cone-beam computed tomography
Empirical cupping correction: A first-order raw data precorrection for cone-beam computed tomography Marc Kachelrieß, a Katia Sourbelle, and Willi A. Kalender Institute of Medical Physics, University of
More informationJoint ICTP-TWAS Workshop on Portable X-ray Analytical Instruments for Cultural Heritage. 29 April - 3 May, 2013
2455-5 Joint ICTP-TWAS Workshop on Portable X-ray Analytical Instruments for Cultural Heritage 29 April - 3 May, 2013 Lecture NoteBasic principles of X-ray Computed Tomography Diego Dreossi Elettra, Trieste
More informationSYSTEM LINEARITY LAB MANUAL: 2 Modifications for P551 Fall 2013 Medical Physics Laboratory
SYSTEM LINEARITY LAB MANUAL: 2 Modifications for P551 Fall 2013 Medical Physics Laboratory Introduction In this lab exercise, you will investigate the linearity of the DeskCAT scanner by making measurements
More informationA study on image quality provided by a kilovoltage cone-beam computed tomography
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, VOLUME 14, NUMBER 1, 2013 A study on image quality provided by a kilovoltage cone-beam computed tomography Julia Garayoa a and Pablo Castro Servicio de Radiofísica,
More informationEnhancement Image Quality of CT Using Single Slice Spiral Technique
Enhancement Image Quality of CT Using Single Slice Spiral Technique Doaa. N. Al Sheack 1 and Dr.Mohammed H. Ali Al Hayani 2 1 2 Electronic and Communications Engineering Department College of Engineering,
More informationX-ray Computed Tomography: Principle and Recent Advancements
X-ray Computed Tomography: Principle and Recent Advancements Jiang Hsieh, Ph.D. GE Medical Systems, Milwaukee, WI Jiang Hsieh SPIE MI 2003 Course Note 1 Principle and Recent Advancements in X-ray Computed
More informationThe Near Future in Cardiac CT Image Reconstruction
SCCT 2010 The Near Future in Cardiac CT Image Reconstruction Marc Kachelrieß Institute of Medical Physics (IMP) Friedrich-Alexander Alexander-University Erlangen-Nürnberg rnberg www.imp.uni-erlangen.de
More informationDevelopments in Dimensional Metrology in X-ray Computed Tomography at NPL
Developments in Dimensional Metrology in X-ray Computed Tomography at NPL Wenjuan Sun and Stephen Brown 10 th May 2016 1 Possible factors influencing XCT measurements Components Influencing variables Possible
More informationRevisit of the Ramp Filter
IEEE TRANSACTIONS ON NUCLEAR SCIENCE, VOL. 62, NO. 1, FEBRUARY 2015 131 Revisit of the Ramp Filter Gengsheng L. Zeng, Fellow, IEEE Abstract An important part of the filtered backprojection (FBP) algorithm
More informationBreast tomosynthesis reconstruction with a multi-beam x-ray source
Breast tomosynthesis reconstruction with a multi-beam x-ray source Ying Chen *a,b, Weihua Zhou a, Guang Yang c, Xin Qian c, Jianping Lu c,d, and Otto Zhou a Dept. of Electrical and Computer Engineering,
More informationIterative CT Reconstruction Using Curvelet-Based Regularization
Iterative CT Reconstruction Using Curvelet-Based Regularization Haibo Wu 1,2, Andreas Maier 1, Joachim Hornegger 1,2 1 Pattern Recognition Lab (LME), Department of Computer Science, 2 Graduate School in
More informationPhase-Contrast Imaging and Tomography at 60 kev using a Conventional X-ray Tube
Phase-Contrast Imaging and Tomography at 60 kev using a Conventional X-ray Tube T. Donath* a, F. Pfeiffer a,b, O. Bunk a, W. Groot a, M. Bednarzik a, C. Grünzweig a, E. Hempel c, S. Popescu c, M. Hoheisel
More informationAn approximate cone beam reconstruction algorithm for gantry-tilted CT
An approximate cone beam reconstruction algorithm for gantry-tilted CT Ming Yan a, Cishen Zhang ab, Hongzhu Liang a a School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore;
More informationQIBA Profile: CT Tumor Volume Change for Advanced Disease (CTV-AD)
5 QIBA Profile: CT Tumor Volume Change for Advanced Disease (CTV-AD) Stage: Consensus When referencing this document, please use the following format: QIBA CT Volumetry Technical Committee. CT Tumor Volume
More informationCarbondale, IL USA; University of North Carolina Chapel Hill, NC USA; USA; ABSTRACT
Pre-computed backprojection based penalized-likelihood (PPL) reconstruction with an edge-preserved regularizer for stationary Digital Breast Tomosynthesis Shiyu Xu a, Christy Redmon Inscoe b, Jianping
More informationRadon Transform and Filtered Backprojection
Radon Transform and Filtered Backprojection Jørgen Arendt Jensen October 13, 2016 Center for Fast Ultrasound Imaging, Build 349 Department of Electrical Engineering Center for Fast Ultrasound Imaging Department
More informationLimited View Angle Iterative CT Reconstruction
Limited View Angle Iterative CT Reconstruction Sherman J. Kisner 1, Eri Haneda 1, Charles A. Bouman 1, Sondre Skatter 2, Mikhail Kourinny 2, Simon Bedford 3 1 Purdue University, West Lafayette, IN, USA
More informationWhite Pixel Artifact. Caused by a noise spike during acquisition Spike in K-space <--> sinusoid in image space
White Pixel Artifact Caused by a noise spike during acquisition Spike in K-space sinusoid in image space Susceptibility Artifacts Off-resonance artifacts caused by adjacent regions with different
More informationThe role of off-focus radiation in scatter correction for dedicated cone beam breast CT
The role of off-focus radiation in scatter correction for dedicated cone beam breast CT Linxi Shi Nuclear and Radiological Engineering and Medical Physics Programs, The George W. Woodruff School of Mechanical
More informationMEDICAL IMAGING 2nd Part Computed Tomography
MEDICAL IMAGING 2nd Part Computed Tomography Introduction 2 In the last 30 years X-ray Computed Tomography development produced a great change in the role of diagnostic imaging in medicine. In convetional
More informationComputer-Tomography I: Principles, History, Technology
Computer-Tomography I: Principles, History, Technology Prof. Dr. U. Oelfke DKFZ Heidelberg Department of Medical Physics (E040) Im Neuenheimer Feld 280 69120 Heidelberg, Germany u.oelfke@dkfz.de History
More information